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Package-Book

于 2012-05-15 发布 文件大小:56089KB
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下载积分: 1 下载次数: 148

代码说明:

  Elad 《Sparse and Redundant Representations 》一书中的代码,关于稀疏理论,介绍的比较系统

文件列表:

Package-Book




............\Chapter_01_3D_spheres.m,7575,2012-01-13
............\Chapter_01_LpLq_demo.m,1161,2012-01-13
............\Chapter_01_normDescroption.m,710,2012-01-13
............\Chapter_02_DesignFrame.m,1842,2012-01-13
............\Chapter_02_GrassDemo.m,1459,2012-01-13
............\Chapter_02_picketfence.m,412,2012-01-13
............\Chapter_03_Demo_Greedy.m,5267,2012-01-13
............\Chapter_03_Demo_Relaxation.m,3565,2012-01-13
............\Chapter_03_IRLS_noNoise.m,1239,2012-01-13
............\Chapter_03_WeakMP_efficiency.asv,1131,2012-01-13
............\Chapter_03_WeakMP_efficiency.m,1584,2012-01-13
............\Chapter_04_Bounds.m,1277,2012-01-13
............\Chapter_04_TwoOrthoBP_Proof.m,495,2012-01-13
............\Chapter_05_IRLS.m,3791,2012-01-13
............\Chapter_05_LARS.m,6931,2012-01-13
............\Chapter_05_LARS_DEMO.asv,1699,2012-01-13
............\Chapter_05_LARS_DEMO.m,1825,2012-01-13
............\Chapter_05_LARS_vs_OMP.m,3665,2012-01-13
............\Chapter_05_No_Uniqueness_Noise_demo.m,3224,2012-01-13
............\Chapter_05_TwoEps_Noise_demo.asv,1500,2012-01-13
............\Chapter_05_TwoEps_Noise_demo.m,1855,2012-01-13
............\Chapter_06_IS_Sanity_Check.asv,1074,2012-01-13
............\Chapter_06_IS_Sanity_Check.m,1132,2012-01-13
............\Chapter_06_Iterated_Shrinkage.asv,14655,2012-01-13
............\Chapter_06_Iterated_Shrinkage.m,14787,2012-01-13
............\Chapter_07_ShowTheGap1.asv,2528,2012-01-13
............\Chapter_07_ShowTheGap1.m,2568,2012-01-13
............\Chapter_07_ShowTheGap2.m,6484,2012-01-13
............\Chapter_08_BP_vs_DS.m,7528,2012-01-13
............\Chapter_09_TV_vs_Heaviside.m,586,2012-01-13
............\Chapter_10_Create_Atom_Examples.m,1603,2012-01-13
............\Chapter_10_DataCameraman.mat,122522,2012-01-13
............\Chapter_10_Deblurring.asv,15602,2012-01-13
............\Chapter_10_Deblurring.m,15610,2012-01-13
............\Chapter_10_Deblurring_Results.mat,54754810,2012-01-13
............\Chapter_10_Shrinkage_Rho.m,2330,2012-01-13
............\Chapter_11_Graphs.asv,6533,2012-01-13
............\Chapter_11_Graphs.m,6940,2012-01-13
............\Chapter_11_RandomOMP.m,2391,2012-01-13
............\Chapter_11_Synthetic.m,8910,2012-01-13
............\Chapter_12_Demo1.asv,3809,2012-01-13
............\Chapter_12_Demo1.m,4030,2012-01-13
............\Chapter_12_Demo1.mat,2371632,2012-01-13
............\Chapter_12_Demo2.asv,3440,2012-01-13
............\Chapter_12_Demo2.m,3651,2012-01-13
............\Chapter_12_DispDict.m,1753,2012-01-13
............\Chapter_12_TrainDic.m,11586,2012-01-13
............\Chapter_12_TrainDic_Fast.m,12084,2012-01-13
............\Chapter_13_AverageL.m,751,2012-01-13
............\Chapter_14_Global.m,3197,2012-01-13
............\Chapter_14_GlobalTrainedDictionary.mat,126069,2012-01-13
............\Chapter_14_Global_SURE.m,3504,2012-01-13
............\Chapter_14_KSVDdenoising.asv,6829,2012-01-13
............\Chapter_14_KSVDdenoising.m,7037,2012-01-13
............\Chapter_14_KSVDGlobalDenoising.asv,3704,2012-01-13
............\Chapter_14_KSVDGlobalDenoising.m,3708,2012-01-13
............\Chapter_14_Local1.m,3754,2012-01-13
............\Chapter_14_Local2.m,4447,2012-01-13
............\Chapter_14_NLMDenoising.m,1545,2012-01-13
............\Chapter_15_CoreInpainting0.m,6422,2012-01-13
............\Chapter_15_CoreInpainting1.m,6069,2012-01-13
............\Chapter_15_CoreInpainting2KSVD.m,8748,2012-01-13
............\Chapter_15_CoreInpainting2MOD.m,7300,2012-01-13
............\Chapter_15_CoreInpainting3KSVD.asv,5864,2012-01-13
............\Chapter_15_CoreInpainting3KSVD.m,5864,2012-01-13
............\Chapter_15_ImpulseNoiseRemoval.m,5103,2012-01-13
............\Chapter_15_Local_MCA_KSVD.asv,9442,2012-01-13
............\Chapter_15_Local_MCA_KSVD.m,9593,2012-01-13
............\Chapter_15_ScaleUp_Main.m,1829,2012-01-13
............\Chapter_15_ScaleUp_Training_and_Testing1.m,6569,2012-01-13
............\Chapter_15_ScaleUp_Training_and_Testing2.m,7338,2012-01-13

............\fht.m,218,2012-01-13
............\fingerprint.png,184561,2012-01-13
............\ifht.m,220,2012-01-13
............\lena.png,151199,2012-01-13
............\omp.m,4601,2012-01-13
............\omp2.m,5519,2012-01-13
............\peppers256.png,40181,2012-01-13
............\private
............\.......\make.m,797,2012-01-13
............\.......\myblas.c,5353,2012-01-13
............\.......\myblas.h,6831,2012-01-13
............\.......\omp2mex.c,3385,2012-01-13
............\.......\omp2mex.m,896,2012-01-13
............\.......\omp2mex.mexw32,17920,2012-01-13
............\.......\ompcore.c,14351,2012-01-13
............\.......\ompcore.h,3122,2012-01-13
............\.......\ompmex.c,2742,2012-01-13
............\.......\ompmex.m,792,2012-01-13
............\.......\ompmex.mexw32,17408,2012-01-13
............\.......\ompprof.c,4523,2012-01-13
............\.......\ompprof.h,3086,2012-01-13
............\.......\omputils.c,1453,2012-01-13
............\.......\omputils.h,2238,2012-01-13

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    积分:1
  • light-center
    本代码开发环境为Halcon,主要用于线结构光法提取光条中心!(The code development environment for Halcon, mainly used for line structured light extraction of the light strip center!)
    2021-02-22 14:09:41下载
    积分:1
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    2009-03-07 15:00:00下载
    积分:1
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    奇异值分解等方法对噪声进行去噪,算法简单,清晰易懂(Singular value decomposition method to noise denoising algorithm is simple, clear and easy to understand)
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    积分:1
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    积分:1
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    对图像进行细化,本实验的细化对象是一组指纹二值图。(Image refinement, the refinement of the experimental object is a set of fingerprint binary image.)
    2008-02-01 13:26:18下载
    积分:1
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    SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图,再到源图像中找到小图所处的位置。(SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.)
    2010-08-19 09:21:06下载
    积分:1
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    bresenham画直线,WIN32,计算机图形学基础类源代码(bresenham画直线)
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